Custom-KoLLM-13B-v8

PracticeLLM/Custom-KoLLM-13B-v8

Custom-KoLLM-13B-v8 is a text generation model from PracticeLLM. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.

Model Developers - Kyujin Han (kyujinpy)

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Parameters

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52.7 GB on disk

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.bin26.3 GB · 50%

At a glance

Task: Text Generation
Library: transformers
License: cc-by-nc-sa-4.0
Model type: llama
Access: Public
Created: Dec 2, 2023
Updated: Oct 1, 2025
SHA: cd2d8016

Datasets

kyujinpy/OpenOrca-ko-v3

Model card

From the Hugging Face model README

⭐My custom LLM 13B⭐

Model Details

Model Developers

Kyujin Han (kyujinpy)

Model Architecture

My custom LLM 13B is an auto-regressive language model based on the LLaMA2 transformer architecture.

Base Model

beomi/llama-2-koen-13b

Training Dataset

kyujinpy/OpenOrca-ko-v3.

Model comparisons

Ko-LLM leaderboard(11/27; link)

Model	Average	Ko-ARC	Ko-HellaSwag	Ko-MMLU	Ko-TruthfulQA	Ko-CommonGen V2
⭐My custom LLM 13B-v1⭐	50.19	45.99	56.93	41.78	41.66	64.58
⭐My custom LLM 13B-v4⭐	49.89	45.05	57.06	41.83	42.93	62.57
⭐My custom LLM 13B-v8⭐	49.84	45.65	56.98	41.37	41.42	59.50

Implementation Code

### KO-Platypus
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

repo = "PracticeLLM/Custom-KoLLM-13B-v8"
OpenOrca = AutoModelForCausalLM.from_pretrained(
        repo,
        return_dict=True,
        torch_dtype=torch.float16,
        device_map='auto'
)
OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)

Hyperparameters

QLoRA
lora_target_modules '[gate_proj, down_proj, up_proj]'
lora_r 64

Task: Text Generation
Library: transformers
Type: llama
License: cc-by-nc-sa-4.0
Languages: ko
Created: Dec 2, 2023
Updated: Oct 1, 2025